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A Petri Net Model for Cognitive Radio Internet of Things Networks Exploiting GSM Bands

Author

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  • Salvatore Serrano

    (Department of Engineering, University of Messina, C.da Di Dio (Villaggio S. Agata), 98166 Messina, Italy
    These authors contributed equally to this work.)

  • Marco Scarpa

    (Department of Engineering, University of Messina, C.da Di Dio (Villaggio S. Agata), 98166 Messina, Italy
    These authors contributed equally to this work.)

Abstract

Quality of service (QoS) is a crucial requirement in distributed applications. Internet of Things architectures have become a widely used approach in many application domains, from Industry 4.0 to smart agriculture; thus, it is crucial to develop appropriate methodologies for managing QoS in such contexts. In an overcrowded spectrum scenario, cognitive radio technology could be an effective methodology for improving QoS requirements. In order to evaluate QoS in the context of a cognitive radio Internet of Things network, we propose a Petri net-based model that evaluates the cognitive radio environment and operates in a 200 kHz GSM/EDGE transponder band. The model is quite flexible as it considers several circuit and packet switching primary user network loads and configurations and several secondary user types of services (that involve semantic transparency or time transparency); furthermore, it is able to take into account mistakes of the spectrum sensing algorithm used by secondary users. Specifically, we derive the distribution of the response time perceived by the secondary users, where it is then possible to obtain an estimation of both the maximum throughput and jitter. The proposed cognitive radio scenario considers a secondary user synchronized access to the channel when using the GSM/EDGE frame structure.

Suggested Citation

  • Salvatore Serrano & Marco Scarpa, 2023. "A Petri Net Model for Cognitive Radio Internet of Things Networks Exploiting GSM Bands," Future Internet, MDPI, vol. 15(3), pages 1-26, March.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:115-:d:1103298
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    References listed on IDEAS

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    1. Francesco Longo & Marco Scarpa & Antonio Puliafito, 2016. "WebSPN: A Flexible Tool for the Analysis of Non-Markovian Stochastic Petri Nets," Springer Series in Reliability Engineering, in: Lance Fiondella & Antonio Puliafito (ed.), Principles of Performance and Reliability Modeling and Evaluation, pages 255-285, Springer.
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    Cited by:

    1. Omar Serghini & Hayat Semlali & Asmaa Maali & Abdelilah Ghammaz & Salvatore Serrano, 2023. "1-D Convolutional Neural Network-Based Models for Cooperative Spectrum Sensing," Future Internet, MDPI, vol. 16(1), pages 1-26, December.

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